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Table 1 Cross validation results from feature combination experiments

From: Predicting tumor cell line response to drug pairs with deep learning

Molecular features

Drug features

MSE

MAE

R 2

Baseline

Baseline

0.5253

0.5709

-1.001

One-hot encoding

One-hot encoding

0.2448

0.3997

0.1269

Gene expression

One-hot encoding

0.2447

0.3999

0.1272

Gene expression

500-dimensional noise

0.2450

0.4008

0.1271

One-hot encoding

Dragon7 descriptors

0.0292

0.1086

0.8892

Proteome

Dragon7 descriptors

0.0303

0.1117

0.8844

microRNA

Dragon7 descriptors

0.0275

0.1050

0.8952

Gene expression

Dragon7 descriptors

0.0180

0.0906

0.9364

Gene expression, microRNA, proteome

Dragon7 descriptors

0.0158

0.0833

0.9440

  1. The boldface row represents the best cross validation